Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Bayesian methods
    • R10
    • R program10
    • R script10
    • Biostatistics8
    • Descriptive statistics8
    • Gaussian processes8
    • Inferential statistics8
    • Markov processes8
    • Multivariate statistics8
    • Probabilistic graphical model8
    • Probability8
    • Statistics8
    • Statistics and probability8
    • Data rendering4
    • Data visualisation4
    • Active learning2
    • Ensembl learning2
    • Exomes2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • Kernel methods2
    • Knowledge representation2
    • Machine learning2
    • MicroRNA sequencing2
    • Neural networks2
    • Personal genomics2
    • RNA sequencing2
    • RNA-Seq2
    • RNA-Seq analysis2
    • Recommender system2
    • Reinforcement learning2
    • Small RNA sequencing2
    • Small RNA-Seq2
    • Small-Seq2
    • Supervised learning2
    • Synthetic genomics2
    • Transcriptome profiling2
    • Unsupervised learning2
    • Viral genomics2
    • WTSS2
    • Whole genomes2
    • Whole transcriptome shotgun sequencing2
    • miRNA-seq2
    • Bioinformatics1
    • Breakend assembly1
    • Chromosome walking1
    • Clone verification1
    • DNA-Seq1
    • DNase-Seq1
    • Genome assembly1
    • Genomic assembly1
    • High throughput sequencing1
    • High-throughput sequencing1
    • NGS1
    • NGS data analysis1
    • Next gen sequencing1
    • Next generation sequencing1
    • Panels1
    • Primer walking1
    • R markdown1
    • Sanger sequencing1
    • Sequence assembly (genome assembly)1
    • Sequencing1
    • Single-cell genomics1
    • Single-cell sequencing1
    • Targeted next-generation sequencing panels1
    • Variant pattern analysis1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org6
    • ELIXIR Estonia1
    • ERGA Knowledge Hub1
    • Show N_FILTERS more
    • Keyword
    • R
    • Statistics10
    • Python3
    • Reproducibility2
    • Automated testing1
    • Data science1
    • Genomics1
    • Health Services1
    • Open Access1
    • Open Science1
    • Open Source Software1
    • Open source code1
    • Python for Data Analysis1
    • Quarto1
    • R Programming1
    • RAP1
    • Reproducible Analytical Pipeline1
    • Reproducible Environment1
    • Reproducible Research1
    • Reproducible Science1
    • SimPy1
    • Simulation1
    • Statistical tests1
    • Unix/Linux1
    • Version control1
    • discrete-event simulation1
    • reproduce1
    • reproducible research1
    • simmer1
    • Show N_FILTERS more
    • Competency level
    • Not specified7
    • Beginner1
    • Show N_FILTERS more
    • Licence
    • MIT License
    • License Not Specified29
    • Creative Commons Zero v1.0 Universal3
    • GNU General Public License v3.0 only1
    • Show N_FILTERS more
    • Target audience
    • Beginners in statistics1
    • Show N_FILTERS more
    • Author
    • Oslo Centre for Biostatistics and Epidemiology2
    • ELIXIR Estonia1
    • Marilin Moor1
    • Reusable and Reproducible Healthcare Simulations in Python and R1
    • bougioukas1
    • cambiotraining1
    • Show N_FILTERS more
    • Contributor
    • Chi Zhang2
    • Alvaro Köhn-Luque1
    • Amy Heather1
    • Manuela Zucknick1
    • Martin van Rongen1
    • Waldir Leoncio1
    • bougioukas1
    • marilin991
    • Show N_FILTERS more
    • Resource type
    • lessons1
    • Show N_FILTERS more
    • Related resource
    • Slides for Introduction to statistics with R 1
    • Show N_FILTERS more
    • Node
    • Switzerland7
    • Estonia1
    • Show N_FILTERS more
    • Status
    • Active1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: Bayesian methods

and Keywords: R

and Licence: MIT License

8 materials found
  • pythonhealthdatascience/des_rap_book

    ELIXIR node event
    Statistics and probability Reproducibility Python R Version control Quarto Statistics Data science
  • harvardinformatics/learning-bioinformatics-at-home

    ELIXIR node event
    R script Statistics and probability Unix/Linux R Python Statistics
  • ELIXIREstonia/2025-04-28-R-basic-stat

    ELIXIR node event
    Statistics and probability R Statistics
  • lessons

    Introduction to statistics with R

    ELIXIR node event
    • Beginner
    Statistics and probability Bioinformatics R Statistical tests Statistics
  • ocbe-uio/course_med3007

    ELIXIR node event
    Genomics Statistics and probability Statistics R Genomics
  • ocbe-uio/teaching_mf9130e

    ELIXIR node event
    Statistics and probability Statistics R
  • cambiotraining/corestats

    ELIXIR node event
    Statistics and probability Statistics R Python
  • bougioukas/practical_stats_med-r

    ELIXIR node event
    Statistics and probability R Statistics
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.